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by amornpan • Data & Databases
A Model Context Protocol (MCP) server that lets AI agents securely list tables, read data, and execute SQL queries against MySQL databases through a controlled interface.
Discover database schema and available tables before composing queries or planning data access.
Read sample rows or inspect table contents safely to inform analysis or answer questions about the data.
Execute ad-hoc SQL queries with centralized error handling and logging while enforcing environment-based credentials and least-privilege access.
This project implements an MCP server to enable safe, structured interaction between AI assistants and MySQL databases. It exposes operations to list available tables, read table contents, and run SQL queries with error handling and logging. Configuration is handled via environment variables and the server is distributed under an open-source MIT license. The design emphasizes least-privilege access, auditing, and ease of integration with agents such as Claude Desktop.
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